Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development

Alsaig, Alaa; Alagar, Vangalur S.; Chammaa, Zaki; Shiri, Nematollaah

doi:10.3390/s19112430

Cited by 19 publications

(11 citation statements)

References 25 publications

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“…In contrast, the construction of a platform related to CIM can facilitate CIM development. For example, the urban database will facilitate data management in the CIM, and the IoT monitoring network will extend the CIM content [91,92]. However, a CIM-oriented platform is hardly found.…”

Section: Improvement Of Theories and Platform Constructionmentioning

confidence: 99%

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City Information Modeling: State of the Art

et al. 2021

Applied Sciences

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The concept of city information modeling (CIM) has become increasingly popular in recent years. A literature review of previous CIM studies is presented in this paper. First, a bibliometric analysis of the current global CIM research is described, revealing that CIM has become a significant research hotspot. Next, three main research areas of the current CIM technique, namely data collection, integration, and visualization, are summarized to describe the characteristics of CIM research. Furthermore, some widely used CIM platforms are compared, and typical application cases of the CIM technique at different stages of the city life cycle are summarized. Finally, the current issues in CIM research are discussed, and future development directions are proposed. The findings of this study are expected to help researchers understand the current state of CIM and identify future development directions, thereby promoting CIM research development.

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Section: Improvement Of Theories and Platform Constructionmentioning

confidence: 99%

“…As the core of CIM, the issue of data has drawn significant attention from scholars worldwide [92]. However, these issues, including the collection, integration, and updating of data, are still challenging because of the various types, complex structures, and massive volumes of data in the CIM [93].…”

Section: Collection Integration and Updating Of Datamentioning

confidence: 99%

City Information Modeling: State of the Art

et al. 2021

Applied Sciences

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“…The recent emerging advances on the Internet of Things (IoT) [1,2] can be easily found several smart mobile and fixed devices (e.g., sensors, cameras, 3D glasses, actuators, and several others). When the resources of these smart devices are combined each other, they offer new monitoring and control capabilities which are able to perform intelligent activities [3,4].…”

Section: Introductionmentioning

confidence: 99%

DYNASTI—Dynamic Multiple RPL Instances for Multiple IoT Applications in Smart City

Júnior

Riker

Silvestre

et al. 2020

Sensors

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Internet of Things (IoT) is evolving to multi-application scenarios in smart cities, which demand specific traffic patterns and requirements. Multi-applications share resources from a single multi-hop wireless networks, where smart devices collaborate to send collected data over a Low-Power and Lossy Networks (LLNs). Routing Protocol for LLNs (RPL) emerged as a routing protocol to be used in IoT scenarios where the devices have limited resources. Instances are RPL mechanisms that play a key role in order to support the IoT scenarios with multiple applications, but it is not standardized yet. Although there are related works proposing multiple instances in RPL on the same IoT network, those works still have limitations to support multiple applications. For instance, there is a lack of flexibility and dynamism in management of multiple instances and service differentiation for applications. In this context, the goal of this work is to develop a solution called DYNAmic multiple RPL instanceS for multiple ioT applicatIons (DYNASTI), which provides more dynamism and flexibility by managing multiple instances of RPL. As a result of this, the traffic performance of multiple applications is enhanced through the routing, taking into consideration the distinct requirements of the applications. In addition, DYNASTI enables the support of sporadic applications as well as the coexistence between regular and sporadic applications. DYNASTI achieved results that demonstrate a significant improvement in reducing the number of control messages, which resulted in increased packet received, decreased end-to-end delay, reduced energy consumption, and an improvement in service differentiation to multiple applications.

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“…Under that concept, all elements of people, data, processes and things will be connected [18]. The technical sensors of the Internet of Things are divided into six groups [19].…”

mentioning

confidence: 99%

“…Collective sensors include online networks, mobile phones, media. People as sensors are measuring the level of stress, heat, they provide voluntary geographical information, the so-called VGI [19,20].…”

mentioning

confidence: 99%

Advanced Technologies and Their Use in Smart City Management

2021

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Building Smart City management concepts is based on the implementation and use of advanced technologies. The primary impulse for writing the article was the ambition to identify the current advanced technologies of Smart City management. The aim of the article is to propose a general model for the implementation of advanced technologies for Smart City management, based on the knowledge gained from the analysis of literature and case studies. In order to fulfill the set goal, it is necessary to obtain answers to two research questions. The findings were obtained through a secondary analysis of the literature, i.e., relevant articles from the scientific databases Web of Science and Scopus analysis of case studies of the best Smart Cities practices. According to the Smart City Index 2020 and IESE Cities in Motion, the leaders among the Smart Cities are Singapore and London, followed by Helsinki. In addition to the analyses, the article also uses methods of summarization, comparison, creativity, logic, induction and deduction. Smart Cities use 12 identified advanced technologies in their practice. Strategic management in Singapore, London and Helsinki adapts technology to the needs and requirements of its citizens, thus connecting the technological aspect with the managerial and social aspects. The contributions of the work include results for fellow researchers and a model for strategic management of new Smart Cities. The results of the article provide fellow researchers with the findings of a secondary analysis of relevant articles, from which they can draw when writing their own publications without the need for time-consuming search of the articles about this topic in databases. The general model of implementation of advanced technologies serves as a basis for strategic management of new Smart Cities that want to implement a technological base and at the same time do not want to forget the managerial and social aspects. Testing the model in practice with a new Slovak Smart City is part of future research activities.

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Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development

Cited by 19 publications

References 25 publications

City Information Modeling: State of the Art

City Information Modeling: State of the Art

DYNASTI—Dynamic Multiple RPL Instances for Multiple IoT Applications in Smart City

Advanced Technologies and Their Use in Smart City Management

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